lme4 v0.2-4


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by Douglas Bates

Linear mixed-effects models using S4 classes

Fit linear and generalized linear mixed-effects models.

Functions in lme4

Name Description
formulas Utilities for formulas
corMatrix Generate the correlation matrix
VarCorr Extract variance and correlation components
Hsb82 High School and Beyond - 1982
intervals Confidence Intervals on Coefficients
GLMM Fit Generalized Linear Mixed Models via PQL
coefGets Assign parameters
Names Extract or assign Names
guImmun Immunization in Guatemala
BIC Bayesian Information Criterion
corFactor Extract the correlation factor
guPrenat Prenatal care in Guatemala
EMupdateGets Update an object in the EM algorithm
fixed.effects Extract Fixed Effects
glmm-class Class "glmm"
lmeLevel Construct an lmeLevel object
VarCorr-class Class "VarCorr"
pdCompSymm-class Class "pdCompSymm"
pdgradNumeric Evaluate the pdmatrix gradient numerically
family-class Class "family"
pdBlocked-class Class "pdBlocked", blocked pd matrices
pdfactor-class Factors of positive-definite matrices
logLik-methods Methods for Function logLik
groupedData-class Class "groupedData"
isInitialized Check for initialization
lmeLevel-class Class "lmeLevel"
pdMatrix Return the positive-definite matrix
lme Fit linear mixed-effects models
pdFactor Square-root factor
nfnGroupedData-class Class "nfnGroupedData"
lmList-class Class "lmList"
lmeControl Control values for lme
model.matrixGets Assign the model.matrix
lmList List of lm Objects with a Common Model
pdNatural-class Class "pdNatural", positive-definite matrices
nfGroupedData-class Class "nfGroupedData"
lme-class Class "lme"
glmmStruct Create a glmm object
pdLogChol-class Class "pdLogChol", positive-definite matrices
pdmatrix-class Positive-definite matrices
nlme-internal Internal nlme functions
pdMat-class Class pdMat, positive-definite matrices
summary.reStruct-class Class "summary.reStruct"
pdDiag-class Class "pdDiag"
random.effects Extract Random Effects
nlmeInternal-class Some internal classes
reStruct-class Class "reStruct"
solve-methods Methods for Function solve
pdIdent-class Class "pdIdent"
weightedGets Modify the weights
reStruct Create an reStruct object
pdgradient Evaluated the pdmatrix gradient
matrixGets Assign the matrix
responseGets Modify the response
pooledSD Extract pooled standard deviation
corrmatrix-class Class "corrmatrix"
LMEgradient The gradient in lme optimization
LMEoptimizeGets Optimize linear mixed-effects
EMstepsGets Perform EM iterations
nmGroupedData-class Class "nmGroupedData"
logDet Logarithm of the determinant
nffGroupedData-class Class "nffGroupedData"
s3bby Responses simulated by Rodriguez and Goldman
s3bbx Covariates in the Rodriguez and Goldman simulation
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Date 2003/07/11
License GPL version 2 or later

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